This is more than just a cool dataset. We’re trying to create an open platform where India researchers have incentives to share data that is helpful to others. 2/N

We created town, village, and constituency identifiers (called shrids) that are super easy to link to other datasets. If you use these identifiers, you get immediate access to hundreds of data fields through SHRUG. 3/N

We mapped upward mobility by ward in Delhi. The prospect of moving up in the socioeconomic distribution varies a lot depending on where you live. Scrollable map at the link. dartmouth.edu/~novosad/mobil…

The map shows the expected education rank of a son born to a father in the bottom half of the income distribution.

We're working on doing this at the neighborhood level for Delhi and for several other cities. If you are in government and want to do this for your city (in India), please reach out to one of us.

🚨 New working paper 🚨 on mortality change in the U.S.. In a graph: Rising mortality among non-Hispanic whites is almost entirely driven by the least educated 10%.
With @charlesrafkin. More discoveries below 👇🏼. Thread 1/N

Mortality among the least educated non-Hispanic whites is rising substantially at all ages. 2/N

🚨 New working paper 🚨 on Intergenerational Mobility in India. Biggest takeaway in 1 graph: Upward mobility for Muslims way behind forward castes, SCs and STs, and going down. Thread, with @thesamasher and @charlesrafkin. 1/11

Into the details. We want to measure equality of opportunity. If you start at the bottom, how likely are you to stay at the bottom? Is it easier to rise up than in the past? 2/11dartmouth.edu/~novosad/anr-i…

We get at this with a measure of intergenerational mobility: if you are born to a parent in the bottom half of the education distribution, what is your expected education rank? Let’s call this upward mobility. 3/11